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根据粗糙集理论原理,从双因子免疫控制器的控制数据中抽取出控制规则,利用本文提出的一种新的规则评价标准筛选出优秀的规则构造控制器,即粗糙规则化的双因子免疫控制器,来对对象进行控制.通过仿真实验证明,粗糙规则化的双因子免疫控制器不但能够体现出普通双因子免疫控制器的学习记忆能力和抗滞后性能,而且在抗干扰性能和响应速度方面都有明显提高.
According to the principle of rough set theory, the control rules are extracted from the control data of the two-factor immune controller, and a good rule structure controller is screened by using a new rule evaluation criterion proposed in this paper, namely rough regularized two-factor immune control The simulation results show that the rough regularized two-factor immune controller can not only reflect the learning and memory ability and anti-delay performance of the common two-factor immune controller, but also have the advantages of anti-jamming performance and response speed Have significantly improved.